| 2025 | CVPR | CRISP: Object Pose and Shape Estimation with Test-Time Adaptation. | Jingnan Shi, Rajat Talak, Harry Zhang, David Jin, Luca Carlone |
| 2025 | ICLR | CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators. | Harry Zhang, Luca Carlone |
| 2025 | ICML | CUPS: Improving Human Pose-Shape Estimators with Conformalized Deep Uncertainty. | Harry Zhang, Luca Carlone |
| 2025 | Interspeech | GraphemeAug: A Systematic Approach to Synthesized Hard Negative Keyword Spotting Examples. | Harry Zhang, Kurt Partridge, Pai Zhu, Neng Chen, Hyun Jin Park, Dhruuv Agarwal, Quan Wang |
| 2025 | ICRA | Enhancing Autonomous Navigation by Imaging Hidden Objects Using Single-Photon LiDAR. | Aaron Young, Nevindu Batagoda, Harry Zhang, Akshat Dave, Adithya Pediredla, Dan Negrut, Ramesh Raskar |
| 2024 | GLOBECOM | A Communication-efficient Conjunctive Query Scheme under Local Differential Privacy. | Ellen Z. Zhang, Yunguo Guan, Rongxing Lu, Harry Zhang |
| 2024 | ICRA | Multi-Model 3D Registration: Finding Multiple Moving Objects in Cluttered Point Clouds. | David Jin, Sushrut Karmalkar, Harry Zhang, Luca Carlone |
| 2024 | WACV | DiffCLIP: Leveraging Stable Diffusion for Language Grounded 3D Classification. | Sitian Shen, Zilin Zhu, Linqian Fan, Harry Zhang, Xinxiao Wu |
| 2023 | ASRU | The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections Through Federated Learning. | Lillian Zhou, Yuxin Ding, Mingqing Chen, Harry Zhang, Rohit Prabhavalkar, Dhruv Guliani, Giovanni Motta, Rajiv Mathews |
| 2023 | CoRL | FlowBot++: Learning Generalized Articulated Objects Manipulation via Articulation Projection. | Harry Zhang, Ben Eisner, David Held |
| 2023 | GLOBECOM | ERQ: An Efficient Range Query Scheme Under Local Differential Privacy. | Ellen Z. Zhang, Yunguo Guan, Rongxing Lu, Harry Zhang |
| 2023 | PIMRC | An Efficient Bloom Filter-based Range Query Scheme Under Local Differential Privacy. | Ellen Z. Zhang, Yunguo Guan, Rongxing Lu, Harry Zhang |
| 2022 | CoRL | TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation. | Chuer Pan, Brian Okorn, Harry Zhang, Ben Eisner, David Held |
| 2022 | ICASSP | Enabling On-Device Training of Speech Recognition Models With Federated Dropout. | Dhruv Guliani, Lillian Zhou, Changwan Ryu, Tien-Ju Yang, Harry Zhang, Yonghui Xiao, Franoise Beaufays, Giovanni Motta |
| 2021 | ICRA | Robots of the Lost Arc: Self-Supervised Learning to Dynamically Manipulate Fixed-Endpoint Cables. | Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Huang Huang, Ken Goldberg |
| 2020 | ICRA | Dex-Net AR: Distributed Deep Grasp Planning Using a Commodity Cellphone and Augmented Reality App. | Harry Zhang, Jeffrey Ichnowski, Yahav Avigal, Joseph Gonzalez, Ion Stoica, Ken Goldberg |
| 2019 | ASRU | Personalization of End-to-End Speech Recognition on Mobile Devices for Named Entities. | Khe Chai Sim, Leif Johnson, Giovanni Motta, Lillian Zhou, Franoise Beaufays, Arnaud Benard, Dhruv Guliani, Andreas Kabel, Nikhil Khare, Tamar Lucassen, Petr Zadrazil, Harry Zhang |
| 2017 | IJCNN | A weighted-resampling based transfer learning algorithm. | Xiaobo Liu, Zhentao Liu, Guangjun Wang, Zhihua Cai, Harry Zhang |
| 2016 | AI | Gaussian Neuron in Deep Belief Network for Sentiment Prediction. | Yong Jin, Donglei Du, Harry Zhang |
| 2016 | ICTAI | Improving Deep Belief Networks via Delta Rule for Sentiment Classification. | Yong Jin, Harry Zhang, Donglei Du |
| 2013 | ICTAI | Sampled Bayesian Network Classifiers for Class-Imbalance and Cost-Sensitive Learning. | Liangxiao Jiang, Chaoqun Li, Zhihua Cai, Harry Zhang |
| 2012 | AI | Cost-Sensitive Self-Training. | Yuanyuan Guo, Harry Zhang, Bruce Spencer |
| 2012 | ICTAI | A Tri-training Based Transfer Learning Algorithm. | Xiaobo Liu, Harry Zhang, Zhihua Cai, Guangjun Wang |
| 2011 | AI | Instance Selection in Semi-supervised Learning. | Yuanyuan Guo, Harry Zhang, Xiaobo Liu |
| 2011 | PAKDD | The Unsymmetrical-Style Co-training. | Bin Wang, Harry Zhang, Bruce Spencer, Yuanyuan Guo |
| 2010 | AI | Semi-supervised Probability Propagation on Instance-Attribute Graphs. | Bin Wang, Harry Zhang |
| 2010 | CHI | Experience, adjustment, and engagement: the role of video in law enforcement. | Joe Tullio, Elaine M. Huang, David Wheatley, Harry Zhang, Claudia V. S. Guerrero, Amruta Tamdoo |
| 2010 | ICDM | An Extensive Empirical Study on Semi-supervised Learning. | Yuanyuan Guo, Xiaoda Niu, Harry Zhang |
| 2008 | AI | Semi-supervised Self-training for Sentence Subjectivity Classification. | Bin Wang, Bruce Spencer, Charles X. Ling, Harry Zhang |
| 2008 | CP | Switching among Non-Weighting, Clause Weighting, and Variable Weighting in Local Search for SAT. | Wanxia Wei, Chu Min Li, Harry Zhang |
| 2008 | ICML | Discriminative parameter learning for Bayesian networks. | Jiang Su, Harry Zhang, Charles X. Ling, Stan Matwin |
| 2007 | AI | Probability Based Metrics for Locally Weighted Naive Bayes. | Bin Wang, Harry Zhang |
| 2007 | DIS | Learning Locally Weighted C4.4 for Class Probability Estimation. | Liangxiao Jiang, Harry Zhang, Dianhong Wang, Zhihua Cai |
| 2007 | SAT | Combining Adaptive Noise and Look-Ahead in Local Search for SAT. | Chu Min Li, Wanxia Wei, Harry Zhang |
| 2006 | AAAI | A Fast Decision Tree Learning Algorithm. | Jiang Su, Harry Zhang |
| 2006 | AI | Learning Naive Bayes for Probability Estimation by Feature Selection. | Liangxiao Jiang, Harry Zhang |
| 2006 | AI | Lazy Averaged One-Dependence Estimators. | Liangxiao Jiang, Harry Zhang |
| 2006 | AI | Probabilistic Inference Trees for Classification and Ranking. | Jiang Su, Harry Zhang |
| 2006 | ICML | Full Bayesian network classifiers. | Jiang Su, Harry Zhang |
| 2006 | ICTAI | Decision Trees for Probability Estimation: An Empirical Study. | Han Liang, Harry Zhang, Yuhong Yan |
| 2006 | PRICAI | Weightily Averaged One-Dependence Estimators. | Liangxiao Jiang, Harry Zhang |
| 2005 | AAAI | Representing Conditional Independence Using Decision Trees. | Jiang Su, Harry Zhang |
| 2005 | AAAI | Hidden Naive Bayes. | Harry Zhang, Liangxiao Jiang, Jiang Su |
| 2005 | ADMA | One Dependence Augmented Naive Bayes. | Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su |
| 2005 | ADMA | Learning | Liangxiao Jiang, Harry Zhang, Jiang Su |
| 2005 | AI | Instance Cloning Local Naive Bayes. | Liangxiao Jiang, Harry Zhang, Jiang Su |
| 2005 | CVPR | Driver State Monitor from DELPHI. | N. Edenborough, Riad I. Hammoud, A. Harbach, A. Ingold, Branislav Kisacanin, Phillip Malawey, T. Newman, G. Scharenbroch, S. Skiver, Matthew R. H. Smith, Andrew Wilhelm, Gerald J. Witt, E. Yoder, Harry Zhang |
| 2005 | DASFAA | Learning Tree Augmented Naive Bayes for Ranking. | Liangxiao Jiang, Harry Zhang, Zhihua Cai, Jiang Su |
| 2005 | ICDM | Learning Instance Greedily Cloning Naive Bayes for Ranking. | Liangxiao Jiang, Harry Zhang |
| 2005 | ICML | Augmenting naive Bayes for ranking. | Harry Zhang, Liangxiao Jiang, Jiang Su |
| 2004 | FlAIRS | The Optimality of Naive Bayes. | Harry Zhang |
| 2004 | ICDM | Learning Conditional Independence Tree for Ranking. | Jiang Su, Harry Zhang |
| 2004 | ICDM | Learning Weighted Naive Bayes with Accurate Ranking. | Harry Zhang, Shengli Sheng |
| 2003 | AI | AUC: A Better Measure than Accuracy in Comparing Learning Algorithms. | Charles X. Ling, Jin Huang, Harry Zhang |
| 2003 | AI | A Fundamental Issue of Naive Bayes. | Harry Zhang, Charles X. Ling |
| 2003 | IJCAI | AUC: a Statistically Consistent and more Discriminating Measure than Accuracy. | Charles X. Ling, Jin Huang, Harry Zhang |